Transcript Tuesday part A: Lecture - Computer Science

Introduction to AI
&
AI Principles (Semester 1)
WEEK 3 – Tuesday part A
(2008/09)
John Barnden
Professor of Artificial Intelligence
School of Computer Science
University of Birmingham, UK
Notes on Last Wed’s Exercises …
… are on the website …
Group Exercise on emotions
Individual Exercise on “SMOKE FREE ZONE”
continuing with …
WHY IS EVERYDAY AI
CHALLENGING?
Individual Exercise
(5 minutes)
at Birmingham airport:
EU Nationals
this way
Other passports
this way
How to interpret this?
What general knowledge needed?
Three Touching Tales
John got to his front door, but realized he didn’t have his
key.
Mary went to a restaurant for lunch. Afterwards she didn’t
have enough money to take a taxi.
Mary went to a restaurant for lunch. Afterwards she didn’t
have enough money to buy the car she wanted.
Some Lessons from the Above
 Role of context:

co-text

discourse location, time & participants

characteristics of the environment, the participants, the entities talked about.
 Role of extensive, diverse knowledge of the world.
 Efficient, appropriate accessing of that knowledge.
 Role of inference, to join things up.
 (From earlier examples) Role of conjectured goals of the other
participants in a conversation.
Expert versus Everyday/Common-Sense
Expert AI: e.g.,

Expert systems for medical diagnosis, etc.

Chess programs

Mathematical theorem provers

Aircraft movement planning systems

Specialized manufacturing robots
Everyday/Common-Sense AI: e.g.,

Language processing, for no specific domain

Common-sense reasoning about the everyday world

Seeing the everyday world
THREE “CASE STUDIES”
for the module,
illustrating a broad range of AI themes
(vision, moving around, planning,
language, representation, learning, …)
The Three Case Studies
Making Hot Drinks for some Friends
Going on a Shopping Trip
Tackling Crime (etc.)